HERZOG, Charlotte; DOVILLAIRE, Guillaume; GRANIER, Xavier; HARMS, Fabrice; LEVECQ, Xavier; LONGO, Elena; MIGNARD-DEBISE, Lois; ZEITOUN, Philippe; DE LA ROCHEFOUCAULD, Ombeline

doi:10.1117/12.2306800

Metadatos

Licencia de uso del documento

HERZOG, Charlotte
Laboratoire Photonique, Numérique et Nanosciences [LP2N]
Melting the frontiers between Light, Shape and Matter [MANAO]
Imagine Optic

DOVILLAIRE, Guillaume
Imagine Optic

GRANIER, Xavier
Laboratoire Photonique, Numérique et Nanosciences [LP2N]
Melting the frontiers between Light, Shape and Matter [MANAO]

Idioma

Communication dans un congrès avec actes

Este ítem está publicado en

Unconventional Optical Imaging, 2018-04-22, Strasbourg. vol. 10677, p. 106772U:1-106772U:11

SPIE

Resumen en inglés

Plenoptic cameras provide single-shot 3D imaging capabilities, based on the acquisition of the Light-Field, which corresponds to a spatial and directional sampling of all the rays of a scene reaching a detector. Specific algorithms applied on raw Light-Field data allow for the reconstruction of an object at different depths of the scene.Two different plenoptic imaging geometries have been reported, associated with two reconstruction algorithms: the traditional or unfocused plenoptic camera, also known as plenoptic camera 1.0, and the focused plenoptic camera, also called plenoptic camera 2.0. Both systems use the same optical elements, but placed at different locations: a main lens, a microlens array and a detector. These plenoptic systems have been presented as independent. Here we show the continuity between them, by simply moving the position of an object. We also compare the two reconstruction methods. We theoretically show that the two algorithms are intrinsically based on the same principle and could be applied to any Light-Field data. However, the resulting images resolution and quality depend on the chosen algorithm.< Leer menos

Palabras clave en inglés

Image resolution

Image quality

Data acquisition

Plenoptic imaging

Unfocused Light-Field Camera

Focused Light-Field Camera

Detection and tracking algorithms

Reconstruction algorithm

Microlens array

Reconstruction algorithms

Microlens

Cameras

Sensors

Imaging systems

Refocusing

URI

https://oskar-bordeaux.fr/handle/20.500.12278/181778

DOI

http://dx.doi.org/10.1117/12.2306800

Proyecto europeo

volumetric medical x-ray imaging at extremely low dose

Orígen

Importado de Hal

Centros de investigación

Laboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298